Development and external validation of a machine learning model for cardiac valve calcification early screening in dialysis patients: a multicenter study
The predictive model effectively identifies CVC risk in dialysis patients and offers a robust tool for early detection and improved management.
Authors
- Yunuo Li
- Siqi Peng (ORCID: https://orcid.org/0000-0001-5418-3656)
- Qianqian Wu (ORCID: https://orcid.org/0000-0002-8402-4055)
- Jing Zheng (ORCID: https://orcid.org/0000-0003-2540-6077)
- Yinfang Li
- Wen Shi (ORCID: https://orcid.org/0000-0002-6624-2331)
- Yao Wang (ORCID: https://orcid.org/0000-0002-9068-5466)
- Xiaoliang Zhang (ORCID: https://orcid.org/0000-0002-5731-3038)
- Xiaoxu Wang
- Min Li (ORCID: https://orcid.org/0000-0003-1350-9909)
- Bin Wang (ORCID: https://orcid.org/0000-0002-7166-0482)
- Jingyuan Cao
- Yaping Fang
- Zhuo Cao (ORCID: https://orcid.org/0000-0001-7192-1294)
- Aiqing Zhang (ORCID: https://orcid.org/0000-0001-5359-8657)
- Junlan Yang
Institutions
- Soochow University (TW)
- Nantong University (CN)
- Zhongda Hospital Southeast University (CN)
- The Affiliated Taizhou People's Hospital of Nanjing Medical University (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
- Yangzhou University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Renal Failure
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1080/0886022x.2025.2491656
- Citations
- 2
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.78
Funders
- National Natural Science Foundation of China
- Jiangsu Provincial Key Research and Development Program